Technology is becoming a commodity: soon every company will have access to similar tools. What cannot be bought on subscription is the judgement to decide what to do with them.
There is a paradox at the centre of the conversation about artificial intelligence that almost nobody is pointing out: the more powerful the technology becomes, the less differentiating it is. When every company in a sector has access to the same models, the same tools and the same market data, technology stops being a competitive advantage and becomes a condition of entry. As electricity once was. As the internet was.
The relevant question is no longer what AI can do for an organisation, but who decides what it should do. And that decision — what to automate and what not to, where to draw the ethical line, which part of the business to transform first, how to bring people along on that journey — is not made by an algorithm. It is made by a leadership team.
In the search processes we lead, we see this shift clearly. Five years ago, companies asked us for executives who "understood technology". Today they take that understanding for granted and ask for something else: the ability to discern. Leaders who can tell promise from noise, who ask the uncomfortable questions before signing off on the investment, and who take responsibility for the decisions the machine can suggest but cannot carry on its shoulders.
Because that is the real frontier. A machine can recommend closing a plant; it cannot look the workforce in the eye while explaining it. It can detect patterns across thousands of interviews; it cannot build the trust that makes a team follow someone through a difficult moment. It can optimise; it cannot create meaning. And organisations do not run on optimisation: they run on meaning.
Our hypothesis, after accompanying dozens of organisations through this transition, is that AI is not devaluing leadership: it is putting it to the test. It is exposing the executives who managed by inertia and multiplying the value of those who bring judgement, vision and the ability to build culture. Technology levels the field; people set companies apart.
If this is true — and everything we see in the market suggests it is — the consequence for companies is direct: the most strategic decision of the AI era is not which technology to buy. It is who sits at the table where its use is decided.
